Texture information plays an important role in image analysis. Although several descriptors
have been proposed to extract and analyze texture, the development of automatic systems …

Diabetes is one of the most prevalent diseases in the world, which is a metabolic disorder
characterized by high blood sugar. Diabetes complications are leading to Diabetic …

In 1979 Haralick famously introduced a method for analyzing the texture of an image: a set
of statistics extracted from the co-occurrence matrix. In this paper we investigate novel sets …

Extraction of useful and discriminative information from fluorescence microscopy protein
images is a challenging task in the field of machine learning and pattern recognition. Gray …

We address, in this work, a new feature generation method for two different approaches of
off-line handwritten signature verification (HSV), writer-dependent and writer-independent …

In this paper, it is shown that repeating average lter increases the uniform patterns of noisy
textures and, consequently, increases the classi cation accuracy of textures. In other words …

One of the first methods for analyzing the texture of an image was proposed in 1979 by
Haralick, who introduced the co-occurrence matrix for calculating a set of image statistics. In …

Content based image retrieval have a wide range of applications that motivates the
researchers worldwide. Selection of extracted features play an important role in content …

Computer vision and image processing techniques play an important role in several fields,
including object detection and image classification, which are very important tasks with …

The proliferation of huge amount of information has made it essential to develop systems
that organize and index them for easy access. The advent of World Wide Web has provided …